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| Research article summary (published 29 Apr 2003): |
Scaling techniques for modeling directional knowledge.
Full Abstract
A common way for researchers to model or graphically portray spatial knowledge of a large environment is by applying multidimensional scaling (MDS) to a set of pairwise distance estimations. We introduce two MDS-like techniques that incorporate people's knowledge of directions instead of (or in addition to) their knowledge of distances. Maps of a familiar environment derived from these procedures were more accurate and were rated by participants as being more accurate than those derived from nonmetric MDS. By incorporating people's relatively accurate knowledge of directions, these methods offer spatial cognition researchers and behavioral geographers a sharper analytical tool than MDS for studying cognitive maps.
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Author information
Author/s: Waller, David (D); Haun, Daniel B M (DB);
Affiliation: University of California, Santa Barbara, California, USA. wallerda(-atsign-)muohio.edu
Journal and publication information
Publication Type: Clinical Trial; Comparative Study; Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
Journal: Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc (Behav Res Methods Instrum Comput), published in United States. (Language: eng)
Reference: 2003-May; vol 35 (issue 2) : pp 285-93
Dates: Created 2003/07/01; Completed 2003/08/29; Revised 2006/11/15;
PMID: 12834086, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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